O'Reilly on Data

MARCH 27, 2019

Below you'll find links to highlights from the event. Forecasting uncertainty at Airbnb. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Watch " Forecasting uncertainty at Airbnb.". Watch highlights from expert talks covering AI, machine learning, data analytics, and more.

Uncertainty 207

Uncertainty Forecasting Data-driven Machine Learning 207

IBM Big Data Hub

FEBRUARY 19, 2024

By developing contingency plans and resilient supply chains, companies can continue to operate even when unexpected events occur. Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs.

Strategy 88

Strategy Management Forecasting Cost-Benefit 88

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

datapine

JUNE 15, 2023

This time, including valuable forecasts for costs and income. Each of these KPIs is tracked in its actual value, its forecast value, and the absolute difference in number and percentage. For instance, we can observe that the net profit has the highest variance from the actual to the forecasted value.

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

Smart Data Collective

AUGUST 15, 2022

This tool ensures that crucial metrics, such as personnel hours, items per transaction, and hourly sales, are considered to determine the appropriate number of staff to deploy at specific times of the day. Making Accurate Sales Forecasts. In doing this, proper deployment of manpower can be achieved. Utilizing Enterprise Search.

Machine Learning 113

Machine Learning Cost-Benefit Forecasting Sales 113

Smart Data Collective

DECEMBER 13, 2021

The latest solutions are more than capable of adding automation to the mix, meaning that rather than relying on manual performance tracking methods which are both time-consuming and tedious, you can instead allow software to flag worrying events and rogue processes for you. Work out what metrics to track.

Strategy 109

Strategy Metrics Software Measurement 109

CIO Business Intelligence

JULY 5, 2022

Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Forecasting: Forecasting analyzes historical data from a specific period to make informed estimates predictive of future events or behaviors. This is the purview of BI.

Business Analytics 132

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 132

Smart Data Collective

NOVEMBER 26, 2021

Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies. Data analytics helps with budget planning, forecasting, and unified attribution to improve the overall client experience. This marketing system is goal-oriented and targeted.

Marketing 111

Marketing Data Analytics Key Performance Indicator Analytics 111

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

Optimization 59

Optimization Forecasting Data-driven Strategy 59

Jet Global

APRIL 27, 2020

In just a few short weeks, many companies’ sales forecasts have been rendered obsolete. Frequent updates based on real-time data provide an up-to-the-minute view of key metrics. Clear visibility to key metrics keeps the team focused and encourages clear, concise daily communication. Forecast Early and Often.

Forecasting 80

Forecasting Finance Metrics Risk 80

IBM Big Data Hub

MARCH 8, 2024

This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower. Today, 45% of networks worldwide are 5G compatible, with that number forecasted to rise to 85% by the end of the decade according to a recent report by Ericsson (link resides outside ibm.com).

IoT 107

IoT Broadcasting Internet of Things Technology 107

IBM Big Data Hub

NOVEMBER 30, 2023

Attend industry events: Participate in conferences, webinars, speaking engagements, award competitions and other events to establish a presence and engage with potential candidates. Measure impact: Use analytics and metrics to assess the effectiveness of branding efforts. Analyze the cost and benefits associated with each.

Strategy 68

Strategy Cost-Benefit Consulting Data-driven 68

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova.

Cost-Benefit 116

Cost-Benefit Internet of Things Data-driven Data Lake 116

IBM Big Data Hub

JANUARY 16, 2024

A finely tuned product development strategy is a holistic, cross-collaborative endeavor with the capacity to help any organization weather unforeseen events or market changes. Product value : This metric evaluates how much a product or service will be used against the resources required to build and maintain it.

Strategy 82

Strategy Cost-Benefit Testing Manufacturing 82

CIO Business Intelligence

OCTOBER 1, 2022

The pandemic, escalating geopolitical tensions, cyberattacks, and severe weather events have made the supply chain a universal issue subject to boardroom and even White House scrutiny. Prior to the pandemic, most people — even businesses — took supply chains for granted. This is no longer the case.

Cost-Benefit 110

Cost-Benefit Manufacturing Forecasting Metrics 110

Jet Global

OCTOBER 8, 2020

Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context.

Finance 98

Finance Reporting Forecasting Metrics 98

IBM Big Data Hub

OCTOBER 5, 2022

As such, planning becomes a continuous rolling activity as the lines between “plan”, “budget” and “forecast” are blurred. I also encourage you to join the IBM Business Analytics live stream event on October 25 th , to hear more case studies on how businesses have used Planning Analytics to accelerate data-driven business decision making.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred. Those who work in the field of data science are known as data scientists.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

CIO Business Intelligence

NOVEMBER 21, 2023

Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted. CIOs need a way to capture lightweight business cases or forecast business value to help prioritize new opportunities.

IT 135

IT Risk Cost-Benefit Risk Management 135

IBM Big Data Hub

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important?

Machine Learning 71

Machine Learning Optimization Unstructured Data Sales 71

Data Science 101

OCTOBER 31, 2019

As taught in Data Science Dojo’s data science bootcamp , you will have improved prediction and forecasting with respect to your product. An in-depth analysis of trends can offer managers a much more reliable way to conduct planning and forecasts. The choice of these metrics depends on the nature of the problem.

Data mining 77

Data mining KDD Data Science Forecasting 77

DataRobot

JUNE 29, 2021

Those who watched the vision presentation at the recent AI Experience 2021 event might have noticed that we quietly announced a new MLOps feature called Continuous AI. Imagine trying to forecast the demand for Clorox wipes back in January 2020 when all you have to go on is quantity sold in the last month or in the same period last year.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

IBM Big Data Hub

FEBRUARY 13, 2024

They use AI and real-time data to identify the impact of external events, forecast potential disruptions and recommend actions to mitigate the effects. Broader technologies like supply chain control towers may also help reduce supplier risk by providing visibility across the entire end-to-end network.

Cost-Benefit 85

Cost-Benefit Scorecard Risk Recreation/Entertainment 85

Jet Global

MAY 18, 2020

Now into the next phase of this unprecedented event, companies have worked out some of the initial kinks of working remotely and preserving business continuity. Meanwhile, they need to recontextualize how they think about enterprise performance management, focusing on new metrics that reflect today’s priorities.

KPI 59

KPI Sales Metrics Reporting 59

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

Jet Global

APRIL 26, 2021

Typically, a debt covenant report provides some key financial measures relative to profitability, solvency, and other metrics that provide visibility to the company’s performance. It’s important to realize, however, that any of the metrics listed above can be extraordinarily useful as management tools.

Reporting 52

Reporting Finance Operational Reporting Measurement 52

Sisense

AUGUST 14, 2020

Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

IBM Big Data Hub

OCTOBER 16, 2023

ML also provides the ability to closely monitor a campaign by checking open and clickthrough rates, among other metrics. ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. Then, it can tailor marketing materials to match those interests.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

IBM Big Data Hub

JULY 27, 2023

By analyzing asset data, companies can identify inefficiencies, uncover cost-saving opportunities and make more accurate budget forecasts. In the event of a breakdown, maintenance teams can use AR glasses to view real-time asset data, see step-by-step repair instructions and even get remote assistance from experts.

Cost-Benefit 59

Cost-Benefit IoT Internet of Things Enterprise 59

Jet Global

MARCH 4, 2020

A manufacturing Key Performance Indicator (KPI) or metric is a well defined and quantifiable measure that the manufacturing industry uses to gauge its performance over time. The only way to stay ahead in this fiercely competitive industry is through the implementation of manufacturing KPIs and metrics. What Is A Manufacturing KPI?

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

Jedox

APRIL 10, 2019

Another is underthinking the people aspect – change is a process, not an event. Some teams spent 30% of their month just adjusting forecasts, while others took 20 working days to deliver static report packs that showed the ‘what’ but didn’t explain the ‘why’. A third reason is not knowing where to start. This is where I look at below.

Digital Transformation 42

Digital Transformation Risk Finance Sales 42

AWS Big Data

OCTOBER 26, 2023

Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

AWS Big Data

FEBRUARY 1, 2023

Lambda as AWS Glue ETL Trigger We enabled S3 event notifications on the S3 bucket to trigger Lambda, which further partitions our data. AWS Glue Data Catalog The Data Catalog helped us maintain the catalog as an index to the data’s location, schema, and runtime metrics in Amazon S3.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Smart Data Collective

FEBRUARY 14, 2023

Video game data analytics involves the collection and gameplay analytics that allows one to understand the game’s problems and make a forecast of its development. The specialist’s responsibilities are: Key metrics analysis. Creation and control of event funnels. Creation of hypotheses and their testing.

Big Data 118

Big Data Data Analytics Analytics Testing 118

Smart Data Collective

MARCH 11, 2022

Customer service analytics is a process that involves gathering and evaluating all data and metrics produced by a company’s or organization’s customer care department. These insights can develop strategies for when the events occur again. What Is Customer Service Analytics? Customer Journey Analytics. Conclusion.

Customer Analytics 117

Customer Analytics Analytics Key Performance Indicator Big Data 117